Samples: Reorganize sample folders and decouple tutorials from packages#227
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Samples: Reorganize sample folders and decouple tutorials from packages#227csu-bot-zivid wants to merge 1 commit into
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Mostly a folder reorganization plus new samples, with a few small doc and code touch-ups. Folder reorganization: - Group advanced samples into topic folders: Barcode, Projector, ROI, Stitching, Transform. - Group network samples under InfoUtilOther/Network. - The README now lists the available samples and tutorials grouped by category. New samples: - Add capture_vis_3d_in_loop and capture_vis_3d_in_loop_with_keypress_exit (continuous live 3D visualization). - Add capture_undistort_2d (undistort a 2D image using the camera intrinsics). Tutorials and README: - Tutorial markdown (quick-capture, capture, point-cloud) is no longer bundled with the samples; the README links to the online tutorials instead. The bundled .md files are removed. - Add a Projector README linking to the 2D Image Projection tutorial. Fixes and docs: - pose_conversions and save_load_matrix: note that the transformation translation is in millimeters; multiply by 1000 if your robot reports meters. - downsample and capture_vis_3d: visualize point clouds with the built-in Zivid visualizer. - create_depth_map: show the BGR image and depth map directly and save them to file. - Standardize handling of a missing optional dependency. - Link CaptureUndistort2D samples to their tutorial.
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Mostly a folder reorganization plus new samples, with a few small doc and code touch-ups.
Folder reorganization
New samples
capture_vis_3d_in_loopandcapture_vis_3d_in_loop_with_keypress_exit— continuous live 3D visualization (the second exits on a key press).capture_undistort_2d— undistort a 2D image using the camera intrinsics.Tutorials and README
Fixes and docs
pose_conversionsandsave_load_matrix: clarify that the transformation translation is in millimeters; multiply by 1000 if your robot reports meters.downsampleandcapture_vis_3d: visualize point clouds with the built-in Zivid visualizer.create_depth_map: show the BGR image and depth map directly and save them to file.